Search Results - "Ji, Bongjun"

Machine Learning-Based Slope Failure Prediction Model Considering the Uncertainty of Prediction by Junhyuk Choi, Yongkyu Cho, Yongjin Kim, Yongseong Kim, Bongjun Ji

“…Slope failure is a severe natural disaster that can cause property damage and human costs. In order to develop a warning system for slope failure, various…”
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A Comparative Analysis of Slope Failure Prediction Using a Statistical and Machine Learning Approach on Displacement Data: Introducing a Tailored Performance Metric by Chaulagain, Suresh, Choi, Junhyuk, Kim, Yongjin, Yeon, Jaeheum, Kim, Yongseong, Ji, Bongjun

“…Slope failures pose significant threats to human safety and vital infrastructure. The urgent need for the accurate prediction of these geotechnical events is…”
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The Effect of Personal Characteristics on Spatial Perception in BIM-Based Virtual Environments: Age, Gender, Education, and Gaming Experience by Ji, Bongjun, Kang, Julian, Kim, Chaehyeon, Kim, Sojung, Song, Yooseob, Yeon, Jaeheum

“…In the Architecture, Engineering, and Construction (AEC) industry, virtual environments are being utilized to enhance communication among stakeholders and…”
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Deep Regression Prediction of Rheological Properties of SIS-Modified Asphalt Binders by Ji, Bongjun, Lee, Soon-Jae, Mazumder, Mithil, Lee, Moon-Sup, Kim, Hyun Hwan

“…The engineering properties of asphalt binders depend on the types and amounts of additives. However, measuring engineering properties is time-consuming,…”
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Multi-Stage Approach Using Convolutional Triplet Network and Ensemble Model for Fault Diagnosis in Oil Plant Rotary Machines by Lee, Seungjoo, Kim, YoungSeok, Choi, Hyun-Jun, Ji, Bongjun

“…Ensuring the operational safety and reliability of rotary machinery systems, especially in oil plants, has become a focal point in both academic and industry…”
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Robust imputation method with context-aware voting ensemble model for management of water-quality data by Choi, Junhyuk, Lim, Kyoung Jae, Ji, Bongjun

“…•Identified factors affecting imputation accuracy and examined effects on various methods.•Developed a robust imputation model using dynamic weighting based on…”
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A non-conformance rate prediction method supported by machine learning and ontology in reducing underproduction cost and overproduction cost by Ji, Bongjun, Ameri, Farhad, Cho, Hyunbo

“…Nonconformities are the major sources of waste in manufacturing process. Nonconformities cannot be fully eliminated but their occurrence rate can be predicted…”
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Web-based agricultural infrastructure digital twin system integrated with GIS and BIM concepts by Cho, Junhwi, Kim, Chaehyeon, Lim, Kyoung Jae, Kim, Jonggun, Ji, Bongjun, Yeon, Jaeheum

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A Bayesian deep learning approach for rheological properties prediction of asphalt binders considering uncertainty of output by Ji, Bongjun, Sharma Bhattarai, Sushmit, Na, Il-Ho, Kim, Hyunhwan

“…[Display omitted] •Novel Bayesian deep learning model for predicting asphalt binder rheological properties.•Incorporates uncertainty quantification for more…”
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